Improving the Generalization of End-to-End Driving through Procedural Generation. - Quanyi Li; Zhenghao Peng; Qihang Zhang; Cong Qiu; Chunxiao Liu; Bolei Zhou (CoRR, 2020)

Reinforcement-Learning- and Belief-Learning-Based Double Auction Mechanism for Edge Computing Resource Allocation. - Quanyi Li; Haipeng Yao; Tianle Mai; Chunxiao Jiang; Yan Zhang 002 (IEEE Internet Things J., 2020)

Safe Driving via Expert Guided Policy Optimization. - Zhenghao Peng; Quanyi Li; Chunxiao Liu; Bolei Zhou (CoRL, 2021)

Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization. - Zhenghao Peng; Quanyi Li; Ka-Ming Hui; Chunxiao Liu; Bolei Zhou (NeurIPS, 2021)

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning. - Quanyi Li; Zhenghao Peng; Zhenghai Xue; Qihang Zhang; Bolei Zhou (CoRR, 2021)

Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization. - Quanyi Li; Zhenghao Peng; Bolei Zhou (ICLR, 2022)

Human-AI Shared Control via Policy Dissection. - Quanyi Li; Zhenghao Peng; Haibin Wu; Lan Feng; Bolei Zhou (NeurIPS, 2022)

Human-AI Shared Control via Frequency-based Policy Dissection. - Quanyi Li; Zhenghao Peng; Haibin Wu; Lan Feng; Bolei Zhou (CoRR, 2022)

CAT: Closed-loop Adversarial Training for Safe End-to-End Driving. - Linrui Zhang; Zhenghao Peng; Quanyi Li; Bolei Zhou (CoRL, 2023)

Guarded Policy Optimization with Imperfect Online Demonstrations. - Zhenghai Xue; Zhenghao Peng; Quanyi Li; Zhihan Liu; Bolei Zhou (ICLR, 2023)

TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios. - Lan Feng; Quanyi Li; Zhenghao Peng; Shuhan Tan; Bolei Zhou (ICRA, 2023)

ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling. - Quanyi Li; Zhenghao Mark Peng; Lan Feng; Zhizheng Liu; Chenda Duan; Wenjie Mo 002; Bolei Zhou (NeurIPS, 2023)

Learning from Active Human Involvement through Proxy Value Propagation. - Zhenghao Mark Peng; Wenjie Mo 002; Chenda Duan; Quanyi Li; Bolei Zhou (NeurIPS, 2023)

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning. - Quanyi Li; Zhenghao Peng; Lan Feng; Qihang Zhang; Zhenghai Xue; Bolei Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learning H-Infinity Locomotion Control. - Junfeng Long; Wenye Yu; Quanyi Li; Zirui Wang; Dahua Lin; Jiangmiao Pang (CoRL, 2024)

GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction. - Xiao Chen; Quanyi Li; Tai Wang; Tianfan Xue; Jiangmiao Pang (CVPR, 2024)

Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response. - Junfeng Long; Zirui Wang; Quanyi Li; Liu Cao; Jiawei Gao 004; Jiangmiao Pang (ICLR, 2024)

A Holistic Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation. - Pan He; Quanyi Li; Xiaoyong Yuan; Bolei Zhou (CoRR, 2024)

MetaUrban: A Simulation Platform for Embodied AI in Urban Spaces. - Wayne Wu; Honglin He; Yiran Wang; Chenda Duan; Jack He; Zhizheng Liu; Quanyi Li; Bolei Zhou (CoRR, 2024)

Towards Autonomous Micromobility through Scalable Urban Simulation. - Wayne Wu; Honglin He; Chaoyuan Zhang; Jack He; Seth Z. Zhao; Ran Gong; Quanyi Li; Bolei Zhou (CVPR, 2025)

MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility. - Wayne Wu; Honglin He; Jack He; Yiran Wang; Chenda Duan; Zhizheng Liu; Quanyi Li; Bolei Zhou (ICLR, 2025)

Task Reconstruction and Extrapolation for π0 using Text Latent. - Quanyi Li (CoRR, 2025)

GLEAM: Learning Generalizable Exploration Policy for Active Mapping in Complex 3D Indoor Scenes. - Xiao Chen; Tai Wang; Quanyi Li; Tao Huang; Jiangmiao Pang; Tianfan Xue (CoRR, 2025)